Add LLM configuration options and update deployment workflow

- Introduced new API keys for Anthropic and Google in .env.example and settings.py
- Updated llm.py to retrieve API keys directly from settings
- Modified deploy.yaml to streamline code checkout and improve deployment process

.env.example

@@ -10,18 +10,34 @@ JWT_ALGORITHM=HS256
 JWT_ACCESS_TOKEN_EXPIRE_MINUTES=30
 JWT_REFRESH_TOKEN_EXPIRE_DAYS=30
 
-# ── OpenAI ────────────────────────────────────────────────────────────────────
-OPENAI_API_KEY=sk-...
+# ── LLM ───────────────────────────────────────────────────────────────────────
+# LiteLLM model identifiers — change to swap providers without code changes.
+# Examples: gpt-4o, anthropic/claude-sonnet-4-20250514, gemini/gemini-pro, ollama/llama3
+OPENAI_API_KEY=
+ANTHROPIC_API_KEY=
+GOOGLE_API_KEY=
+LLM_MODEL=gpt-4o
+LLM_ROUTER_MODEL=gpt-4o-mini
 
-# ── Stripe ────────────────────────────────────────────────────────────────────
-STRIPE_SECRET_KEY=sk_test_...
-STRIPE_WEBHOOK_SECRET=whsec_...
+# ── Stripe (leave empty to stub billing) ──────────────────────────────────────
+STRIPE_SECRET_KEY=
+STRIPE_WEBHOOK_SECRET=
 
 # ── AWS / S3 ──────────────────────────────────────────────────────────────────
-S3_BUCKET=adiuva-backups
+S3_BUCKET=adiuva
 S3_REGION=us-east-1
-AWS_ACCESS_KEY_ID=AKIA...
-AWS_SECRET_ACCESS_KEY=...
+S3_ENDPOINT_URL=
+AWS_ACCESS_KEY_ID=
+AWS_SECRET_ACCESS_KEY=
+# For MinIO (homelab): S3_ENDPOINT_URL=http://minio:9000
+
+# ── Vector Store ──────────────────────────────────────────────────────────────
+# Pinecone is used when PINECONE_API_KEY is set; otherwise falls back to Qdrant.
+PINECONE_API_KEY=
+PINECONE_INDEX=adiuva
+QDRANT_URL=
+QDRANT_API_KEY=
+# For local Qdrant (homelab): QDRANT_URL=http://qdrant:6333
 
 # ── CORS ──────────────────────────────────────────────────────────────────────
 # Comma-separated list parsed by Settings (override default if needed)